PSM E-Learning Management System
Full-stack learning platform engineered with role-based access control, Paystack payment processing, dynamic assessments, and automated QR-code certificate verification.
PROJECTS & APPLIED RESEARCH
A comprehensive portfolio of full-stack web platforms, connected IoT telemetry networks, and empirical research testbeds built for real-world reliability.
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Full-stack learning platform engineered with role-based access control, Paystack payment processing, dynamic assessments, and automated QR-code certificate verification.
Microcontroller telemetry network streaming environmental and security sensor data from a Raspberry Pi Pico W over MQTT to live cloud dashboards.
Clinic management platform organizing patient medical records, appointment scheduling, dispensary inventory, and billing workflows with relational data integrity.
Responsive meteorological web application querying live weather data via OpenWeather REST APIs with dynamic condition states and local search caching.
Recipe management web application structured around complete CRUD workflows and user-generated recipes, engineered with Spring Boot, JPA, and MySQL storage.
Modern sports news and live matchday tracking concept featuring responsive grid layouts, athlete profiles, and real-time tournament fixture presentation.
Machine learning classification pipeline analyzing network telemetry data, addressing severe class imbalance in malicious traffic, and suppressing false positive alarms.
Empirical study comparing data compression and lightweight filtering algorithms across low-power microcontrollers using MQTT/TLS protocols under constrained bandwidth.
Turning theoretical machine learning and edge telemetry into testable, dependable tools.
Evaluating how learning-based models enhance decision support, predictive maintenance, and tabular data classification when constrained by noisy real-world conditions.
Investigating machine learning pipelines for network telemetry analysis, handling extreme class imbalance in malicious traffic, and mitigating adversarial false positives.
Studying methods for human-in-the-loop validation, cryptographic credential verification, and transparent feedback mechanisms in automated educational platforms.
Analyzing telemetry compression, lightweight filtering algorithms, and low-power protocol efficiency (MQTT/TLS) across microcontroller sensor clusters.
Open to software engineering roles, collaborative systems design, and technical discussions.